IMPROVING CARDIAC MRI-BASED INFARCT SIZING: LONG-AXIS IMPLEMENTATION AND INCREASED PRECISION OF AMERICAN HEART ASSOCIATION 17-SEGMENT BASED LEFT VENTRICLE INFARCT PERCENTAGE IN CARDIAC MAGNETIC RESONANCE IMAGE-BASED INFARCT
Author
Ref, JacobIssue Date
2021Keywords
AHA 17-Segment ModelPorcine
Ischemic Heart Failure
Myocardial Infarction
Long-Axis MRI
Long-Axis Ratio
Short-Axis MRI
Histopathology
Advisor
Goldman, Steven
Metadata
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The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Abstract
Currently, physicians and research scientists use the American Heart Association (AHA) 17-segment model of Magnetic Resonance Imaging (MRI) as the preferred clinical method to define infarcted myocardial scar tissue and quantify myocardial infarction (MI) size [1]. The method is subjective and can be an inaccurate approximation of infarcted tissue quantity when compared to post-mortem histopathology, which is considered the gold standard. This study focuses on improving the accuracy, precision, and reproducibility of infarct volume quantification when measuring MRI-based images from a porcine model of ischemic heart failure. Data was collected from infarcted mini swine that underwent serial MRI over the course of 6 months and end point organ harvesting for histopathologic analysis. Methods improving infarct size quantification could potentially impact translational research studies with the expectation of improving patient care. By applying a modified long axis (LAX) MRI-based version of infarct sizing, adapted from histopathology-based infarct sizing, and implementing a long axis ratio (LAR) coefficient we propose a more accurate model to noninvasively quantify infarcted myocardial mass that will reduce subjective error and potentially improve clinical treatment strategies and patient outcomes.Type
Electronic thesistext
Degree Name
B.S.H.S.Degree Level
bachelorsDegree Program
PhysiologyHonors College